Scorecards display a summary of a single metric and are the most commonly used way to visualize core key performance indicators (KPIs).
A Pie/Doughnut chart expresses a part-to-whole relationship in a data set. It will always add up to 100%. So, if, for instance, you want to show "How does 100% divide up into multiple shares?" you should always use a Pie/Doughnut Chart with % as a data label.
Bullet charts display a single metric performance and progress towards a certain goal or against a benchmark. You can optionally display a target value, and set it up to 3 ranges.
Gauge charts display a single metric performance and progress towards a certain goal or against a benchmark.
Line charts are best for tracking changes over short or long overtime. Compare how several things change over time relative to each other. When minor changes exist, line graphs are better than bar graphs. So If you hear that key phrase "over time," that’s your clue to consider using line charts for your data.
A Column chart shows comparisons among discrete categories. One axis of the chart shows the specific categories being compared, and the other axis represents a measured value. The bars can be plotted vertically or horizontally.
Combo charts use both axes to show a comparison between different KPIs. They work in a similar way to Column charts except with the option to configure how to display individual metrics (Line and Pub/Bar). The right axis is often used If a data set is significantly smaller than the rest of the KPIs.
Tables represent quantitative information where precise values can be required in some cases. However, this is not exclusive in this information age. My personal favorite method of using tables treats them as a raw data exported into Microsoft Excel and Google Sheets for detailed analysis.
A Pivot Table stores the summary of a specific data set in a condensed manner or groups data together in a meaningful way. My personal favorite is to treat Pivot Tables as raw data export tables into Excel and Google Sheets for detailed analysis.
An Area Chart is best used to show the distribution of categories as parts of a whole changing over an interval. As the area inside the chart is plotted to convey whole numbers, an Area Chart does not work for negative values.
A scatter chart will show the relationship between two different variables represented by the X and Y axes.
A Bubble chart shows the relationship between two different variables represented by the X and Y axes, with Bubble Size (optional) representing the optional metric.
Geo charts are an easy way to visualize data in maps to compare how a measurement varies across a geographic area. The dimensions are related to continents, countries, regions/states and cities, with your desired metrics as a data point.
Treemaps show parts of a whole and display hierarchical information.
Scorecard
Pie/Doughnut chart
Bullet chart
Gauge chart
Line chart/Time series chart
Column chart
Combo charts
Table
Pivot Table
Area chart
Scatter chart
Bubble chart
Geo map chart
Treemaps